We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
The Advance in video coding and wireless communication techniques has enabled video-based services to be the most important component of many emerging multimedia applications. The...
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Abstract We propose a novel testing technique for object-oriented programs. Based on the state and activity models of a system, we construct an intermediate representation, which w...